Greetings, and welcome to the UiPath Third Quarter 2026 Earnings Conference Call. At this time, participants are in a listen-only mode. A question and answer session will follow the formal presentation. Please note that this call is being recorded. I will now turn the conference over to your host, Allise Furlani, Vice President of Investor Relations. Thank you. You may begin.

Good afternoon, and thank you for joining us today to review UiPath's third quarter fiscal 2026 financial results, which we announced in our earnings press release issued after the close of the market today. On the call with me are Daniel Dines, Founder and Chief Executive Officer, and Ashim Gupta, Chief Operating and Financial Officer, to deliver our prepared comments and answer questions. Our earnings press release and financial supplemental materials are posted on the UiPath Investor Relations website. These materials include GAAP to non-GAAP reconciliations. We will be discussing non-GAAP metrics on today's call. This afternoon's call includes forward-looking statements regarding our financial guidance for the fourth quarter fiscal year 2026 and our ability to drive and accelerate future growth and operational and grow our platform, product offerings, and market opportunity. Actual results may differ materially from those expressed in the forward-looking statements due to many factors, and therefore, investors should not place undue reliance on these statements. For a discussion of the material risks and uncertainties that could affect our actual results, please refer to our annual report on Form 10-Ks for the year ended January 31, 2025, and our subsequent reports filed with the SEC. Forward-looking statements made on this call reflect our views as of today, and we undertake no obligation to update them. I would like to highlight that this webcast is being accompanied by slides. We will post the slides and a copy of our prepared comments to our Investor Relations website immediately following the conclusion of this call. In addition, please note that all comparisons are year over year unless otherwise indicated. Now, I would like to hand the call over to Daniel.

Thank you, Allise. Good afternoon, everyone. Thanks for joining us. We are pleased with our performance in the quarter, which was driven by the team's focus, consistent execution, and progress across our strategic priorities. Our automation strategy, combining the reliability of deterministic automation with the intelligence and adaptability of AgenTiKi, continues to align with what customers want most: trusted enterprise-grade automation that delivers tangible ROI fast. We've always believed that our approach to automation agents and orchestration creates a durable competitive edge. This quarter's results reinforce the value of our platform, and the improved execution from our teams, we beat the high end of our guidance across all metrics, delivering third quarter ARR of $1.782 billion, up 11%. Further reinforcing my conviction that our business is stabilizing and being driven by $59 million in net new ARR. Revenue was $411 million, an increase of 16%. Our disciplined approach to operational efficiency continues to strengthen profitability, resulting in our first GAAP profitable third quarter while increasing non-GAAP operating income to $88 million or a 21% margin. And we are on track to be GAAP profitable for the full year 2026 for the first time. The momentum we are seeing in the market isn't just in our results. It's in how customers and partners are engaging with UiPath. You could see that momentum in action at Fusion, where thousands of customers, partners, and developers joined us in Las Vegas to see how AgenTik AI is delivering measurable ROI today. We showcased advancements across the UiPath platform, including new integrations with partners like OpenAI, Microsoft, NVIDIA, Google, and Snowflake. Unreal customer stories where we had leading enterprises across key verticals sharing how they are transforming mission-critical processes with AgenTeq automation. Customers tell us they get the most impact from a unified platform bringing…

Thank you, Daniel, and good afternoon, everyone. Before turning to the financials, I'd like to provide a quick operational update. This quarter reflects the meaningful progress we've made in sharpening execution across the strategic priorities Daniel outlined earlier this year. Including strengthening customer relationships, accelerating innovation, and driving operational rigor across the organization. Through these areas of strategic focus, we have improved performance of our sales team, deepened areas of a strategic focus, we have improved performance of our sales team. Deepened engagement and strengthened alignment with our customers' priorities. We're partnering earlier, co-developing solutions and scaling automation faster. Our broad installed base gives us unique visibility into enterprise workflows helping customers connect people, robots, and AI agents to deliver measurable outcomes at scale. Our pace of innovation continues to accelerate, supported by deeper ecosystems, integrations, and advancements in our AgenTic automation platform. Combined with disciplined execution, these efforts contributed to another solid another quarter of solid top-line and bottom-line performance. Including our first GAAP profitable third quarter, and putting us on track for our first GAAP profitable year. And we're seeing customers lean in, A great proof point of our end-to-end platform is a leading cybersecurity company that expanded to our AgenTeq products, which support from our four deployed engineers, they are leveraging UiPath agents, robots, iXp, and Maestro to create seamless end-to-end workflow. IXB extracts data from purchase orders across 700 vendors robots retrieve quote details from SAP, and agents supply confidence scores before passing the data to sales order creation. Maestro orchestrates the process, ensuring speed, accuracy, and control, which is expected to help them improve their accuracy rate from 50% to 90%. Turning to the quarter, unless otherwise indicated, I will be discussing results on a non-GAAP basis. And all growth rates are year over year.…

Thank you. And at this time, we'll conduct our question and answer session. Your first question comes from Brian Bergen with TD Cowen. Please state your question.

Hey guys, good afternoon. Thank you. Maybe just starting off here on some of the agentic solution traction. Daniel, I had you mentioned, I think 950 plus clients. Just first, is that comparable to the I think, 450 or so last quarter using AgentBuilder? Or is that a broader kind of view across your agentic solutions? Just trying to get a sense of kind of that quantitative traction, if you could share that. And for the cases where you are seeing scaling past the proof of concepts, is it more about the underlying clients their capabilities or more so about the specific types of use cases that they're pursuing?

Thanks, Ryan. Yeah, we are seeing really good momentum across our AgenTeq offering. And this creates a pull through across the entirety of our platform. We are seeing some kind of consistent buying patterns emerging from POC to pilots. And to some use cases into production. I would say that it's more you know, the highest ROI use cases are very customer specific. I don't see necessarily a single one across multiple industries or different departments. But overall, it's pretty encouraging to see you know, the movement from, again, from pilots into production. For some of them.

Okay. And then my follow-up is on the federal business. So you had positive commentary here probably a surprise for some given the shutdown. Just curious, was there any shutdown impact just worth calling out here in October and into November?

No. There was no direct impact from the shutdown. You know, you got to remember, Brian, a lot of our projects are just funded, you know, through the bills. So and many of them are considered are in critical operations, like, in areas like the Department of Defense, etcetera. So we had no major impact from the shutdown.

Alright. Very good. Thank you.

Your next question comes from Jake Roberge with William Blair. Please state your question.

Yes, thanks for taking the questions and nice quarter. Congrats on the results. I know there's some FX impact, your Q4 guide implies that net new ARR could start growing again on a constant currency basis. Can you talk about the driver of that return to growth and just how we should think about the sustainability of net new ARR growth moving forward?

Yeah. Look, I think my entire business is positive. We are really pleased with how our team executes. We see consistent execution across the board. I would like to nominate especially our teams in Americas. Where we are really see signs of great traction, especially in the agentic. And yeah. I would say it's overall it's things are improving and stabilizing.

Yeah, I would just echo what Daniel said as well. I think there is no magic to it. We talked about the improved execution. The focus the launch of the new products, we think is going to continue to help us both you know, definitely indirectly and pulling through our platform and increasing stickiness and getting us deeper in customer conversations. But then, you know, as we go through time more directly, and know, we we look at kinda just as the business stabilizes. A lot of goodness, both the consistency of the leadership, the talent that has been brought in as well. So those are factors that contributed. There's not one single know, magic, magic, button or or one silver bullet that that we're counting. On for that.

Okay. That's helpful. And then I know you're not expecting a material contribution from AI solutions this year. But for customers like that cybersecurity company that you called out in the script that are starting to put these agents and Maestro processes into production, can you help us understand what type of pricing uplift or monetization that you're seeing once we actually get these these go lives in production.

Yeah. It's not about the pricing uplift. I think the first thing to note as we talked about the cyber Jake, is it's pulling through the entire platform. IXp additional robots, process orchestration, so I think that is an important part of this. It's not agentic in isolation. It is agentic paired with the rest of our platform. That really is driving value for our customers. So I see this kind of the monetization, not as a pricing uplift, but increasing stickiness, giving more conviction to deepen our platform into the architecture of our customers. As customers really like the road map and are starting to experiment with AgenTic. And find you know, tangible ROIs through the full breadth of our platform.

Very helpful. Thanks for taking the questions.

Your next question comes from Mike Turrin with Wells Fargo. Please state your question.

Yes. Hey, this is Austin Williams on for Michael Turrin. Just wanted to go back to U.S. Federal. I'm curious how results in 3Q came in versus your expectations at the beginning of the year related to Doge. And then maybe just as a follow-up, anything you can add on the OpenAI collaboration exactly that could drive for you? I've got Thanks.

I would say that the federal business continues to be a dynamic environment for us. We've pockets of strength. We are really encouraged by the progress in 3Q and I think it's returning to to a new normal. The deals that we mentioned in the scripts are really are really solid. Team is executing well. We've focus on efficiency positioning as well. The projects are long term and strategic, not short term. We continue to be prudent in our guidance estimations about the sector. On the OpenAI, yeah, we use you know, GPT five across the board in our platform. We highlighted especially the use in one of the most innovative parts of our platform that the product that I mentioned in the script called screenplay. Which is basically our our own version of computer use or operator. But the key thing here is that we can combine the the, you know, the reliability of UI automation with the power of adaptability of LLM driven computer use. And I think to my knowledge, we are the only company that can succeed delivering autonomous UI tasks using using LNMs. You know, using this approach.

Thank you.

And your next question comes from Matthew Hedberg with RBC Capital Markets. Please state your question.

Hey, guys. This is Mike Richards on for Matt. Thanks for taking the question. Yes, kind of building on that last question, there's a ton of excitement around the partnerships you guys announced, and I think it validates your positioning in orchestration. So I was wondering even beyond OpenAI, you could just give some more details around the partnerships just in terms of is there a joint go to market element to any of them? I know it's early, but have you seen any pipeline build as a result of these partnerships? Just just any more details. There's a lot of excitement around Thanks.

Yeah. I would say that at this point, our the partnership that we announced at Fusion are are clearly into the technology enabling partnerships. And it it they were driven largely by our customer needs. We always we praise ourselves for having an open platform that can can really be flexible and customizable to customer needs. So we we we believe so if you look at kind of our partnership, we we believe that the foundation of delivering reliable AI in in in enterprise have different layers. So it has the data layer on topology layer, so we this is where our partnership with is shining. We offer ourselves the automation the RPA, and API, and agentic layers. But of course, with OpenAI and and Google we we we use the Frontier LLMs. In order to power the agentic. We use Nvidia for you know, security and governance in regulated industry. So I think our our goal is to is to create a set of partnership that offer a very solid foundation to deliver reliable AI into a secure and governed manner.

Super helpful. And then if I could just do a follow-up. Yeah. I think before we talked about in the early days of the orchestration opportunity for you guys, it's been mostly agents created on UiPath. I was just wondering, have you seen more of a shift to third party agents yet? Or is it still you you guys are mostly orchestrating agents built, within UiPath? Thanks again.

We are seeing many customers interested in in building coded agents. Where we have partnered with companies like Longchain, CrewAI, and Lama Index. And we're seeing right now a mix of agents that are hosted and managed by our platform that are both low code and and coded agents. I think at this point, it's kind of too early to see us managing external agents that are built completely outside of our platform.

Thank you.

Next question comes from Sanjit Singh with Morgan Stanley. Please state your question.

Yes. Hey, everyone. This is Ryan Lances on for Sanjit. Just with regards to the channel, you mentioned the expansion of your partnership with Deloitte. So can you just provide some additional details around how much incremental pipeline is now partner sourced? Relative to a year ago? And maybe just how these partnerships can help drive additional kind of AI related product deployments next year? Thanks.

Yeah. One is, I I think, you know, the quantum definitely increased. But more than the the quantity, it's the quality. So when you look at the s four HANA migrations that are happening, and partners like Deloitte, you know, and and their presence within many of these customers, we're now involved in those conversations. And I think that that is helping pull us through and being in the conversation about larger scale transformation processes. I know I think that is Deloitte has obviously done an a really exceptional job in that partnership has been meaningful for us. But I think that's a motion that we're also seeing with with you know, across our teams with various partners that are there. So the quality for me is sue is is much higher quality pipeline than just a superficial quantum or quantity number that I would tell you about.

Okay. Great. And then just one follow-up. You guys have driven some pretty meaningful OpEx leverage throughout this year. And I'm just curious if you could provide any additional details around how you're thinking about OpEx investment next year to kind of support this AI product rollout and just broader monetization path? Thanks.

Yeah. Of course, I'll I I'm not gonna provide anything specific regarding next year at this time. But I think putting this year in context, give you a sense of the strategy that Daniel and the leadership team here are employing. So I think the first thing is we've gotten OpEx leverage by not austerity, but by discipline. And really being super focused on where we prioritizing. So we are actually hiring in our engineering segment. We are expanding sales capacity. As we talked about earlier this year, and last year, really our focus has been continuing to drive a efficiency across our processes, being selective about overlay functions in terms of where we're investing, And and I think that area allows us to get operating leverage while still being able to invest in key areas. So as we're looking at our platform, whether it's for deployed engineers, you know, whether it is more hands hands and legs at our customer sites. Or just core engineering capabilities. Those are areas that are you know, in our investment zone. When you look at our line items, we're getting leverage across every area. Because we're really going to all of the cost structures that exist outside of those three. And really seeing what are the areas of efficiency and prioritization. And that has not just given us OpEx leverage, it's also enhanced our focus and has contributed to us being better in our execution cadence as well. Thank you.

Your next question comes from Scott Berg with Needham and Company. Please state your question.

Everyone. Nice quarter. Thanks for taking my questions. When I was at conference a couple months ago, some of the partners I spoke with really talked about a high level of pilots and proof of concepts that your customers are are going through right now, you know, with the different types of AI functionality. And I know it's not a big part of the expectations around bookings for this year, but I guess as you've seen some of them convert to actual sales or production, are there any key drivers or levers that you've learned through some of these that you can help maybe use in some of these other deal cycles you're currently going through?

Yeah. We we we see this patterns emerging. It's I would say that this the landscape it's extremely scattered right now. We we have deployed our teams in various use cases across various industries. We see some particular partners emerging in healthcare, like for instance in revenue cycle management, prior authorization, claims management and financial services, financial crimes it's but again, I think it's a bit too early to mention one particular use case where we see, you know, like, great replicable potential.

Understood. Thank you. And then, Ashim, as you look at the fourth quarter guidance someone else had already mentioned, that the implied ARR number suggests that your net new ARR is up again on a year over year basis. Help us kind of think through maybe the construction of that. Is that just purely a result of the improved execution that you all have been working on this year? Or is there some aspect that maybe deals that were maybe slipped for Q2 and Q3 that kind of moved in you know, to the expectation. And, you know, I know that AI is you know, some of the functionality there is not a big driver this year. But are there some, you know, expectations around maybe some bookings improvements in that category? That's helping kind of drive what your initial guidance here is?

Yeah. So let me be super clear on it. There's nothing in terms of, like, slip deals from third quarter or anything that is timing oriented, Scott. In any material or significant way. There's always normal course deals that move back and forth. Right? Deals that were in your fourth quarter pipeline that closed early and deals that closed late. That's just normal course, and nothing out of the usual that I would I would talk about. When you look at the year over year growth implied within our guidance, I think there's there's three main factors for me. The first is execution. We are seeing improved execution. Across the, you know, across the board from our sales team, we it's it is supported by good customer activity. Meaning not one or two deals, but really broad based activities of POCs and pilots and renewals that are coming in with more conviction about our long term, you know, place in in the in the architecture that leads to natural upsells, etcetera. There is macroeconomic environment, as I talked about in the second quarter earnings call around foreign exchange that will play a role in that year over year impact that is there. And then the third one is, I just think momentum I think that we've had a good stable base now in terms of if you look at our sales stability six months, nine months after of the restructuring that we had, you know, completed at the beginning of the year, well as just a little bit of the normalization around areas like the public sector, which we've said is kind of back to a new normal. No catch up, but at least you know, at this time, a new normal. We feel like we're still prudent on our on our overall assumptions on the macroeconomic environment, but it's a confluence of things that to me are at the opposite end of when net new ARR was declining, which poor execution, foreign exchange having a headwind, and frankly, just losing having too much inconsistency in our strategy, as well as our organizational structure. So I'd say all three are contributing to that. To the to the to the stabilization of net new ARR you're seeing.

Understood. Helpful. Thank you.

Your next question comes from Alex Zukin with Wolfe Research. Please state your question.

Hi, this is Arsenio on for Alex Zukin. And I guess on the results and also just kind of wanted to expand on what the downtick in NRR was, was it just weakness at the low end or was there anything else? Then kind of unpacked what's driving that stronger new business, but is there that you can kind of give us in terms of Q4 expectations on that new business strength given the three you just talked about?

Yes. So look, think there is I think when you look at it, definitely the lower end of the segment we've talked about that. It has a little bit of pressure on the net new ARR. To give you a supplemental metric, our net dollar expansion rate for customers between 100,000 and 1,000,000 was 113%. So that, you know, that can quantifiably show kind of the the the lower cohort having more more pressure. And I think you get a little bit of the law of large numbers as well. But as we stabilize net new ARR, obviously, rest of the metrics begin to stabilize as well. And you can see can see that pattern starting both with our third quarter results and, of course, kind of the guidance that we've provided here.

Got it. And then just to kind of follow-up on kind of the same thing, you doubled the number of customers developing agents quarter over quarter and managed to process instances. What's the uplift you've seen in those customers? And is it kind of fair to assume that into next year as that revenue ramps, it can help sustain that NRR and offset some of that low end weakness that we've seen?

Yeah. I we we will continue to contend that we're in the early innings of of AgenTek. I think what the the momentum around customer activity, it has both the direct and indirect. I think the indirect definitely can has started to help us and will continue to help us. Customer pulling through other parts of our platform, investing us in us as a longer term part of their enterprise architecture. In terms of direct, you know, scalable direct monetization place for Magentic, you know, we're at this we'll update everybody as we kinda get into next year around assumptions there. But for the immediate short term, there's nothing material as we cited in the script.

Got it. Thanks.

Your next question comes from Kingsley Crane with Canaccord Genuity. Please state your question.

Hi, thanks. So I think it's interesting if we think about the Code Red moment over the past couple of weeks, it's clear that competition among model providers is healthy. Of course, that makes integration, orchestration even more valuable. Have you seen a shift in perception in the past quarter? And then from an integration activity perspective, how is heterogeneity trending? Thanks.

I don't think we necessarily see yet a shift I think you you aim at Google Gemini release. We we were using Gemini in our ISP business for quite a few quarters. Somehow. I think we as platform we continue to assess all the Frontier LLMs. We use frankly a mixture of them. In for for instance, in our ISP business, we use we use GPT five to understand better the structure and intent of a document while we can use Gemini for specific extraction, like multiple tables, imbricated tables, This is just an example. But across the platform, we always monitor and use the best of breed LLMs.

Great. And then just a quick follow-up. Ashim, you mentioned in your prepared remarks that you're partnering earlier, you're co-developing solutions earlier. This has been a big focus for this year. Just to what extent did this directly translate into proof improved results in Q3? And then do you think that this could be more of a future predictor success next year?

I think a leading indicator, yes. I think anytime you're closer to customers, you are innovating with them, you're solving problems. Think it helps. And I I would say what our conviction is is that ROI is going to be where choices are made. And so as we're co-innovating, as we're as we're teaming up with partners around bigger problems, I think we have a chance to have meaningful impact around ROIs, which we feel, you know, we'll continue to do that. Think it also shows the relevance of UiPath. If I can if if I you know, like, in terms of the validation of the agentic framework, you know, it's not market texture. It's it's real product that has real impact that both partners and customers can innovate around. I think that is super important and and a really great validation point for our product team, our sales team, and all of our customer teams combined. Answer your question around third quarter, as we've cited in the script as well in the prepared remarks, there's no meaningful impact from AgenTeq. You know, in our near term results. We feel like this is continued disciplined execution. What AgenTek continues to do is the closer you're to customers, the more you are a part of their long term road map and architecture. The more that they're willing to invest and pull through the existing parts of your platform today, And know, have higher level impacts within their org. And that indirect impact, we're feeling the momentum, and we're excited about it.

Thank you. Your next question comes from Kirk Materne with Evercore. Please state your question.

Hi, this is Chirag on for Kirk. Congratulations on the strong quarter and traction. Daniel, you've talked briefly about prebuilt agentic solutions, and highlighted strong modernization use cases within certain categories. In the past. Which verticals do you see adopting these prebuilt agentic solutions the fastest? And are you moving more aggressively into industry specific packaged automation at all?

Yes. Our verticalized approach is getting a lot of traction within UiPath. We put a lot of focus and effort. We actually did recently rework of our product and engineering teams to better address the creation of vertical solutions. In terms of industries, we focus on healthcare, financial and financial services primarily with again with an accent on revenue cycle management in health care, and and in financial services, I would say, I would say financial crimes can be one of the know your customers anti money laundering. Type of use cases we are seeing the the most interest from our customers.

Okay. Maybe just one more. What are your thoughts on the balance between deterministic automation and agentic or LLM based automation. And do you see this balance shifting materially at any point, you know, over the next few years or a few quarters?

Look, our thesis is that they are very complementary. And they address different steps in the business process. And in many in many processes as long as you know, a task or workflow is well defined, people will use a deterministic automation. There is zero need to use an LLM based. You use an LLM order to create a deterministic automation or to maintain it to make it to to improve it over time, but you don't use an LLM to drive it. But of course, are so many areas where you cannot have rules are either too complicated or process is too complex, you sift through tons of documents where or it involves conversational aspect of the process. This in all these areas, LLMs are an amazing complement to to to the deterministic automation. And I also want to mention that the orchestration piece that combined the AI based and deterministic with humans in the loop is an essential piece that is required in order to deliver a solution that is secure covered for the enterprise. We continue we have continued saying that orchestration is a key. We announced it our effort a year ago and I'm pleased to see that across the industry, people are talking right now and realize that orchestration is a key technology in order to deliver reliable AI.

Okay. You very much. Congrats again on the quarter.

Your next question comes from Terry Tillman with Truist Securities. Please state your question.

Hi, this is Dominique on for Terry. Thanks for taking my questions. So it was mentioned previously that one of the biggest customer hurdles with agentic consumption pricing is spend predictability. So have early deployments given you enough usage patterns to help customers forecast more reliably? Also just curious as to what else you all are doing to help customers get over that hurdle.

Look. We are we are constantly evaluating how our customers are adopting AI and we we aim to have a pricing model that really reflects the adoption of consumption of AI. We constantly monitor industry trends and I would say the the entire industry is is dynamic. At this point and is trying to to figure out what what's the best pricing. We We are pretty flexible in our approach. Can price by you know, We also are pretty flexible on understanding and how would outcome based pricing can be for our customers. But again, I think the we are in the early innings of really understanding consumption patterns. Across the GentiKi at scale, I mean.

Got it. And then just as a follow-up, has the typical cycle timeframe from an PLC to a production deployment shortened versus earlier in the year? If so, could you just highlight what specific efforts are driving that compression or what you all plan to do to accelerate it?

Yeah. I I think we, as a company, understand understand a bit better how you know, various use cases. We are building internally solutions, accelerators that can help us you know, replicate experience across industries and verticals. And my estimation is this trend will continue to accelerate within next year. I I strongly believe that the key to unlock huge scale AI consumption in enterprise is the prepackaged solutions where we'll we can meaningfully accelerate the time to to value. This is why as I mentioned before, we put a lot of emphasis in building these solutions.

Great. Thank you.

Thank you. And there are no further questions at this time. So I'll now hand it back to management for closing remarks.

Thank you so much for all the questions. I would like to wish you happy holidays. And as usual, we like to hear from as many as you throughout the quarter. Thank you.

Thanks. This concludes today's call. All parties may disconnect.